AI Application Development

Useful AI applications built around your knowledge, business workflows, and existing software, with a focused scope and a practical delivery plan.

We build AI features that help people find information, work with source material, and complete specific business tasks. Our project work includes sermon research and retrieval, operational lookup and reporting assistance, and reusable development workflows. The starting point is a useful job for the software to do.

A focused first release gives the team something concrete to evaluate before expanding the scope. We reuse suitable data sources, APIs, components, and existing systems, then review the answers and actions against the task. Development effort, model usage, and ongoing infrastructure all belong in the cost discussion.

How we can help

  • Search and retrieval over your documents and structured knowledge
  • AI-assisted research with source material kept distinct from generated answers
  • Operational assistants for lookup, reporting, and connected workflows
  • Focused prototypes and incremental integration into existing products
  • Evaluation of answer quality, access boundaries, and operating costs

Technologies we work with

  • TypeScript
  • C# / .NET
  • PostgreSQL
  • Azure OpenAI
  • AWS
  • MCP
Explore our technology stack

Related project work

Explore related applications, integrations, and software work from our portfolio.

Explore the full portfolio

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AI Skills Workflow Toolkit

A versioned AI workflow toolkit connecting planning, implementation, QA, tests, and pull-request review through reusable team skills.

Developer tools, AI coding assistants

ClassWise mobile app screenshot 1 of 4

Education · Live MCP v2 on ChatGPT

ClassWise

An education platform for school operations, with web and mobile apps and a live MCP v2 integration on ChatGPT.

Web, iOS, Android, ChatGPT (MCP v2)

AI & Research · Live

Ask Spurgeon

A sermon-research and AI application combining a structured historical corpus, retrieval tools, and carefully separated generated answers.

Web, MCP integration

AI & Research · Development work

Facilitron Works AI

AI assistance for facility operations, connecting natural-language questions with work-order counts, documentation lookup, and report preparation.

Web assistant, Application tools

Discuss your project

Tell us what you are building, what already exists, and where you need help. We can discuss the requirements and an appropriate next step.

Book a consultationSee our project portfolio

Frequently asked questions

What kind of AI application should we start with?

Start with a specific task that has useful source information and a clear way to judge the result: finding an answer in a knowledge library, preparing a report, or retrieving a business record. A focused first workflow makes the scope, required integrations, and evaluation criteria easier to define.

How do you keep an AI project cost-effective?

We look for suitable existing APIs, components, data, and infrastructure before adding new systems. A focused first release lets you evaluate usefulness before expanding the work. Model usage and hosting requirements are part of the plan alongside implementation and ongoing maintenance.

How do you evaluate whether an AI feature is effective?

We define the task, the information it can use, the expected result, and what needs review. The evaluation can include source relevance, answer quality, permission handling, successful completion of the workflow, and the effort required from the person using it.